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News/FUSE: An Evaluating Framework for Dangerous Capabilities of LLMs
arxiv
PublishedSeptember 3, 2026 at 4:00 AM

FUSE: An Evaluating Framework for Dangerous Capabilities of LLMs

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arXiv:2609.02168v1 Announce Type: new Abstract: Fragmented safety evaluation undermines the governance of dangerous AI capabilities. We present a modular framework that evaluates each model through three orthogonal pipelines---Knowledge ($K$), Defense ($D$), and Harm ($H$)---under a unified protocol

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